Histogram analysis of gadoxetic acid-enhanced MRI for quantitative hepatic fibrosis measurement.
Histogram analysis of gadoxetic acid-enhanced MRI for quantitative hepatic fibrosis measurement.
复制标题
DOI：
10.1371/journal.pone.0114224
复制
发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Choi JY
中科院分区：
文献类型：
--
作者：
Kim H;Park SH;Kim EK;Kim MJ;Park YN;Park HJ;Choi JY
肝纤维化的诊断和监测是一个重要的临床问题；然而，这通常是通过活检等侵入性方法来实现的。我们旨在确定加多西酸增强磁共振成像（MRI）的肝胆期图像的直方图分析是否可以提供肝纤维化的非侵入性定量测量。本回顾性研究得到了机构伦理委员会的批准，并获得了知情同意的弃权。对105例经病理证实肝纤维化分级的患者（男69例，女36例，年龄56.1±12.2）术前肝胆期MRI图像进行分析。11/20/13/15/46例患者的纤维化分期分别为F0/F1/F2/F3/F4 （METAVIR系统）。在代表性图像的预定位置放置四个兴趣区域（ROI，每个约2 cm2）。每个ROI中像素的测量信号强度用于计算校正的变异系数（cCV）、偏度和峰度。计算各参数的平均值进行比较。统计学分析采用方差分析、受试者工作特征（ROC）曲线分析和线性回归分析。病理性纤维化等级间cCV差异有统计学意义（P<0.001），而偏度和峰度差异无统计学意义。单变量线性回归分析表明，cCV是预测纤维化分级有意义的参数（P<0.001, β = 0.40，标准误差= 0.06）。区分F0-3与F4， ROC评分下面积为0.857，标准差0.036,95%置信区间0.785 ~ 0.928。肝胆道期图像的直方图分析可以提供肝纤维化的非侵入性定量测量。
The diagnosis and monitoring of liver fibrosis is an important clinical issue; however, this is usually achieved by invasive methods such as biopsy. We aimed to determine whether histogram analysis of hepatobiliary phase images of gadoxetic acid-enhanced magnetic resonance imaging (MRI) can provide non-invasive quantitative measurement of liver fibrosis. This retrospective study was approved by the institutional ethics committee, and a waiver of informed consent was obtained. Hepatobiliary phase images of preoperative gadoxetic acid-enhanced MRI studies of 105 patients (69 males, 36 females; age 56.1±12.2) with pathologically documented liver fibrosis grades were analyzed. Fibrosis staging was F0/F1/F2/F3/F4 (METAVIR system) for 11/20/13/15/46 patients, respectively. Four regions-of-interest (ROI, each about 2 cm2) were placed on predetermined locations of representative images. The measured signal intensity of pixels in each ROI was used to calculate corrected coefficient of variation (cCV), skewness, and kurtosis. An average value of each parameter was calculated for comparison. Statistical analysis was performed by ANOVA, receiver operating characteristic (ROC) curve analysis, and linear regression. The cCV showed statistically significant differences among pathological fibrosis grades (P<0.001) whereas skewness and kurtosis did not. Univariable linear regression analysis suggested cCV to be a meaningful parameter in predicting the fibrosis grade (P<0.001, β = 0.40 and standard error = 0.06). For discriminating F0-3 from F4, the area under ROC score was 0.857, standard deviation 0.036, 95% confidence interval 0.785–0.928. Histogram analysis of hepatobiliary phase images of gadoxetic acid-enhanced MRI can provide non-invasive quantitative measurements of hepatic fibrosis.
登录
查看更多内容
影响因子：
19.7
作者：
Aguirre, DA;Behling, CA;Sirlin, CB
通讯作者：
Sirlin, CB
影响因子：
19.7
作者：
Nassif, Ali;Jia, Jia;Kuehn, Jens-Peter
通讯作者：
Kuehn, Jens-Peter
影响因子：
5.9
作者：
Godfrey, Edmund M.;Patterson, Andrew J.;Lomas, David J.
通讯作者：
Lomas, David J.
影响因子：
5.6
作者：
BATTS, KP;LUDWIG, J
通讯作者：
LUDWIG, J
影响因子：
19.7
作者：
Balassy, Csilla;Feier, Diana;Ba-Ssalamah, Ahmed
通讯作者：
Ba-Ssalamah, Ahmed